Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1159 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 1429017 (Python Code)

Max Activating Token Index: 50

Text #1

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 355514 (C4 (Web Text))

Max Activating Token Index: 774

Text #2

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Max Act: 0.0081. Min Act: -0.0006

Data Index: 1410560 (Python Code)

Max Activating Token Index: 924

Text #3

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 346897 (C4 (Web Text))

Max Activating Token Index: 829

Text #4

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Max Act: 0.0079. Min Act: -0.0006

Data Index: 1390046 (Python Code)

Max Activating Token Index: 982

Text #5

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 1505952 (Python Code)

Max Activating Token Index: 249

Text #6

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Max Act: 0.0079. Min Act: -0.0006

Data Index: 421993 (C4 (Web Text))

Max Activating Token Index: 978

Text #7

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Data Index: 1422471 (Python Code)

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Text #8

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 580604 (C4 (Web Text))

Max Activating Token Index: 171

Text #9

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Data Index: 1286342 (C4 (Web Text))

Max Activating Token Index: 763

Text #10

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Max Activating Token Index: 222

Text #11

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Max Activating Token Index: 165

Text #12

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Data Index: 55209 (C4 (Web Text))

Max Activating Token Index: 907

Text #13

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Data Index: 1512036 (Python Code)

Max Activating Token Index: 658

Text #14

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Data Index: 198094 (C4 (Web Text))

Max Activating Token Index: 504

Text #15

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Text #16

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Text #17

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Data Index: 987651 (C4 (Web Text))

Max Activating Token Index: 235

Text #18

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Data Index: 1503686 (Python Code)

Max Activating Token Index: 653

Text #19

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 1132539 (C4 (Web Text))

Max Activating Token Index: 219